Fuzzy and Multi-Level Decision Making: Soft Computing Approaches

This book offers a comprehensive overview of cutting-edge approaches for decision-making in hierarchical organizations. It presents soft-computing-based techniques, including fuzzy sets, neural networks, genetic algorithms and particle swarm optimization, and shows how these approaches can be effect...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Cheng, Chi-Bin (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Shih, Hsu-Shih (http://id.loc.gov/vocabulary/relators/aut), Lee, E. Stanley (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:2nd ed. 2019.
Σειρά:Studies in Fuzziness and Soft Computing, 368
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Introduction
  • Linear Bi-level Programming
  • Possibility Theory and Fuzzy Optimization
  • Fuzzy Interactive Multi-level Decision Making
  • Aggregation of Fuzzy Systems in Multi-level Decisions
  • Multi-level Optimization by Fuzzy Dynamic Programming
  • Auction Mechanisms for Solving Multi-level Programming
  • Neural Networks for Solving Multi-level Programming
  • Metaheuristics for Multi-level Optimization.